Essays about: "Computer Science thesis mobile"
Showing result 1 - 5 of 13 essays containing the words Computer Science thesis mobile.
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1. Model-Level Timing Analysis for UML-RT Capsules
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : Real-time systems surround every facet of our lives. They can be found in anything from everyday objects like mobile phones and washing machines to objects critical to life and infrastructure including heart rate monitors and nuclear power plants. As time progresses these systems are becoming ever more complex. READ MORE
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2. Douchebag Jar - The Instant Karma App : A full-stack mobile application development project
University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Abstract : Mobile applications are everywhere in today's society, they come in many flavours and are an integral part of many peoples daily lives. The limits to development of mobile applications are expanding with each new idea of how the technology could be potentially used, and it is a field that is most likely going to continue to influence the world we live in. READ MORE
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3. Gate Recurrent Unit Neural Networks for Hearing Instruments
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Gated Recurrent Unit (GRU) neural networks have gained popularity for applications such as keyword spotting, speech recognition and other artificial intelligence applications. Typically for most applications training and inference is performed on cloud servers, and the result are transferred to the power constrained device, e.g. READ MORE
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4. Email Classification : An evaluation of Deep Neural Networks with Naive Bayes
University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologiAbstract : Machine learning (ML) is an area of computer science that gives computers the ability to learn data patterns without prior programming for those patterns. Using neural networks in this area is based on simulating the biological functions of neurons in brains to learn patterns in data, giving computers a predictive ability to comprehend how data can be clustered. READ MORE
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5. Novel Cluster-Based SVM to reduce classification error in noisy EEG data: towards real-time brain-robot interfaces
University essay from Mälardalens högskola/Akademin för innovation, design och teknikAbstract : To be able to control a robotic platform using signals form the human brain is something that has been considered science fiction for a long time. With the technology available today however, it has more or less become a reality. Electroencephalography or EEG for short is a widely used method for extracting signals form the brain. READ MORE